26 citations · 106 across the 13 of their papers we have counts for
4 papers · 1 filter
Adversarial Examples for -Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams
Chawin Sitawarin, Evgenios M. Kornaropoulos, Dawn Song +1
Adversarial examples are a widely studied phenomenon in machine learning models. While most of the attention has been focused on neural networks, other practical models also suffer…
Minority Reports Defense: Defending Against Adversarial Patches
Michael McCoyd, Won Park, Steven Chen +5
Deep learning image classification is vulnerable to adversarial attack, even if the attacker changes just a small patch of the image. We propose a defense against patch attacks bas…
Minimum-Norm Adversarial Examples on KNN and KNN-Based Models
Chawin Sitawarin, David Wagner
We study the robustness against adversarial examples of kNN classifiers and classifiers that combine kNN with neural networks. The main difficulty lies in the fact that finding an…
SAT: Improving Adversarial Training via Curriculum-Based Loss Smoothing
Chawin Sitawarin, Supriyo Chakraborty, David Wagner
Adversarial training (AT) has become a popular choice for training robust networks. However, it tends to sacrifice clean accuracy heavily in favor of robustness and suffers from a…